28 parallel-and-distributed-computing-phd positions at Vrije Universiteit Amsterdam (VU)
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Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking
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KIN Center for Digital Innovation The KIN Center for Digital Innovation is an internationally recognized research group at the intersection of organization studies, strategy, and technology. KIN researchers study how organizations and industries transform in response to major societal and...
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The Department of Mathematics The Department of Mathematics strives for excellence in research. The department balances pure mathematical research with mathematical research motivated by applications. Researchers in the department are on one hand active at a fundamental and theoretical level,...
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research have a strong experimentally technical, computational and interdisciplinary nature. We work on new solutions guided by value-driven, interdisciplinary methodologies. We are committed to research
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kind of data? These are some of the overarching questions that the Influence and Technology Lab seeks to answer. To do so, we rely on the most advanced methods in the social and computational sciences
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About us You will become part of a collaborative project team, consisting of a PhD researcher (you), a postdoctoral researcher, a junior researcher/research assistant, and three senior researchers
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engage in research collaborations locally and/or internationally participate in the School of Business and Economics PhD training program complete and defend a PhD thesis within the appointment duration
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14 Jul 2026 Job Information Organisation/Company Vrije Universiteit Amsterdam (VU) Research Field Computer science » Modelling tools Computer science » Programming Environmental science » Earth
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Institute for Environmental Studies The work will be carried out at the Institute for Environmental Studies (IVM). IVM is a leading environmental research institute that is internationally recognized for its high quality research output in a range of environmental disciplines, as well as for its...
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following areas: Machine Learning, Deep Learning, Reinforcement Learning, Data Mining; Programming; Parallel programming and High-Performance; Computing; Scientific computing, Numerical methods, and Numerical